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Trust Networks for Recommender Systems

This book describes research performed in the context of trust/distrust propagation and aggregation, and their use in recommender systems. This is a hot research topic with important implications for various application areas. The main innovative contributions of the work are: -new bilattice-based m...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Victor, Patricia (Autor), Cornelis, Chris (Autor), De Cock, Martine (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Paris : Atlantis Press : Imprint: Atlantis Press, 2011.
Edición:1st ed. 2011.
Colección:Atlantis Computational Intelligence Systems, 4
Temas:
Acceso en línea:Texto Completo
Descripción
Sumario:This book describes research performed in the context of trust/distrust propagation and aggregation, and their use in recommender systems. This is a hot research topic with important implications for various application areas. The main innovative contributions of the work are: -new bilattice-based model for trust and distrust, allowing for ignorance and inconsistency -proposals for various propagation and aggregation operators, including the analysis of mathematical properties -Evaluation of these operators on real data, including a discussion on the data sets and their characteristics. -A novel approach for identifying controversial items in a recommender system -An analysis on the utility of including distrust in recommender systems -Various approaches for trust based recommendations (a.o. base on collaborative filtering), an in depth experimental analysis, and proposal for a hybrid approach -Analysis of various user types in recommender systems to optimize bootstrapping of cold start users.
Descripción Física:XIII, 202 p. online resource.
ISBN:9789491216084
ISSN:2215-1710 ;